|
|
Absolute deviation, 绝对离差
" Q4 X& y) m! M! H1 q. mAbsolute number, 绝对数3 N3 l4 i; X' n0 a J4 M% v+ u* N
Absolute residuals, 绝对残差& K$ x" a5 o2 V
Acceleration array, 加速度立体阵. i% V3 G. L, h
Acceleration in an arbitrary direction, 任意方向上的加速度
+ l+ T- s. S6 D$ l3 UAcceleration normal, 法向加速度) p* y7 C. ]; e+ d6 F; e$ H
Acceleration space dimension, 加速度空间的维数! u9 D# S) ?/ O5 z4 ~3 }3 b% ^
Acceleration tangential, 切向加速度- N; F* @6 P% E8 N) [+ d
Acceleration vector, 加速度向量 |- S+ q U4 `& i4 L
Acceptable hypothesis, 可接受假设' b) a9 ~: L. j' f/ D# B
Accumulation, 累积" _8 a/ b* I2 x1 o- J, g. J1 Q
Accuracy, 准确度8 _/ u$ r Z& Y# B& p& B
Actual frequency, 实际频数# F, T( d: j# l9 n- k7 z" S! ]+ I+ b
Adaptive estimator, 自适应估计量" y& o1 |6 c, D+ [- B
Addition, 相加
+ f0 i- K# w' g% u$ w( w5 lAddition theorem, 加法定理9 L$ ~- O" L9 S5 `
Additivity, 可加性5 r4 @. `- Z% u6 x
Adjusted rate, 调整率
& H; t3 j) H( i. B0 u( kAdjusted value, 校正值
. @6 o& H# H" s% {0 Y0 l! uAdmissible error, 容许误差2 m; U9 G# d% l5 ^+ W: _
Aggregation, 聚集性$ c' D' }: k, g- z/ Q+ I
Alternative hypothesis, 备择假设5 {6 ?7 G- x* _2 X
Among groups, 组间
. J" `# t4 ]' |: E5 gAmounts, 总量
! ?: i4 Q4 a& ?) z$ _Analysis of correlation, 相关分析: k3 e. z! K& m9 n+ U' x
Analysis of covariance, 协方差分析: T( h6 d( B5 Q( J/ ]. h
Analysis of regression, 回归分析
! W) g5 J T# e& J5 S' e# xAnalysis of time series, 时间序列分析* ~$ b- W% \1 V7 u& Q
Analysis of variance, 方差分析& i p5 }+ t; f0 `
Angular transformation, 角转换2 G/ _: F* _8 p; w4 u" \3 k
ANOVA （analysis of variance）, 方差分析
) z2 O; p7 Q9 JANOVA Models, 方差分析模型
+ I3 T8 {4 k$ N' {3 X) F* H IArcing, 弧/弧旋
8 k. J: e3 V7 UArcsine transformation, 反正弦变换
% Q' d' o0 w/ e v7 zArea under the curve, 曲线面积
6 r0 r; L% |* S4 Q* l; F- u% _, fAREG , 评估从一个时间点到下一个时间点回归相关时的误差
+ T6 X, S# h2 @- S/ XARIMA, 季节和非季节性单变量模型的极大似然估计 ) {# j7 x! x9 P
Arithmetic grid paper, 算术格纸8 _* r& {* B$ M& T
Arithmetic mean, 算术平均数
- t |# h9 k+ R' Y1 p0 h' |2 pArrhenius relation, 艾恩尼斯关系7 s/ o5 G8 |* n
Assessing fit, 拟合的评估; E5 f" ?" J" |" ^" P
Associative laws, 结合律$ J* s3 g8 j/ [0 D8 b
Asymmetric distribution, 非对称分布3 v y, j0 P8 Y( @* [/ W, f
Asymptotic bias, 渐近偏倚* E" \# Q( K5 V, Y7 q
Asymptotic efficiency, 渐近效率
( a, i- C+ i" i. kAsymptotic variance, 渐近方差+ w. B% ~% z+ F9 E) o; L
Attributable risk, 归因危险度- k. M. w( t5 m' l& G
Attribute data, 属性资料! ^# ^. \1 ^- P& T$ R% {" g
Attribution, 属性1 P6 q4 |) }: F, l- s& Q# _
Autocorrelation, 自相关6 O. C+ U& @9 |+ e
Autocorrelation of residuals, 残差的自相关
) l4 U( n8 W" L3 |& Y# KAverage, 平均数3 z: p7 n0 {8 {2 N. w' k& x9 m9 a
Average confidence interval length, 平均置信区间长度
8 Y8 H3 a0 c; |+ e! oAverage growth rate, 平均增长率# M! u# a0 m2 G
Bar chart, 条形图
' x& ~1 b5 m x! IBar graph, 条形图
# Z) [. e0 p8 n1 r2 PBase period, 基期' b& f1 H4 l+ F0 C
Bayes' theorem , Bayes定理
) |! i, l2 ^' m6 L( GBell-shaped curve, 钟形曲线
6 r+ R" {: @, d' |7 uBernoulli distribution, 伯努力分布4 q4 t- R8 L7 F9 [
Best-trim estimator, 最好切尾估计量$ y+ ]! R3 k0 T
Bias, 偏性" O+ f R# f; N2 l& Q3 R
Binary logistic regression, 二元逻辑斯蒂回归7 i+ C0 N5 ^, z6 Y/ l
Binomial distribution, 二项分布9 _# K9 I7 Y$ B1 E
Bisquare, 双平方
' p3 _1 B7 p% Q# M( F vBivariate Correlate, 二变量相关
1 E$ x) U, u: z5 u( @! TBivariate normal distribution, 双变量正态分布
; ?( s- @1 [0 T- J. `4 O' X4 FBivariate normal population, 双变量正态总体7 \ ~# k Q4 u7 m. m/ Q
Biweight interval, 双权区间' G% b ~) ^* a$ u5 D
Biweight M-estimator, 双权M估计量, |% A# f1 L6 ]' K
Block, 区组/配伍组4 |9 ~# |& |- }( n- N8 F$ ~
BMDP(Biomedical computer programs), BMDP统计软件包
( X4 l, \0 W3 tBoxplots, 箱线图/箱尾图
$ e8 v% }) C% S+ |Breakdown bound, 崩溃界/崩溃点 F7 Q. P# j* r8 A ~2 f
Canonical correlation, 典型相关6 R/ W {( T% T8 i
Caption, 纵标目, @0 [9 z& q' R# z
Case-control study, 病例对照研究, X: Y/ q" h- s. {5 [- S
Categorical variable, 分类变量" P' [6 Y4 k: Z
Catenary, 悬链线: g8 X- u$ c6 L2 A8 F* K) w
Cauchy distribution, 柯西分布
$ W& L$ u) f6 DCause-and-effect relationship, 因果关系3 k, ~# }( I p
Cell, 单元0 K2 ]- I+ Q4 q+ s7 Y3 {) k: F
Censoring, 终检" X( x4 Z4 a+ \& h2 R
Center of symmetry, 对称中心
9 {$ o; ?/ `& t4 x6 MCentering and scaling, 中心化和定标4 V% y9 u% |1 E2 Z2 R+ c& I
Central tendency, 集中趋势
; y, Y% W* K$ B4 \0 K+ pCentral value, 中心值/ E4 g, R( s. {! e" S+ V1 x
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测) {0 y7 D( [) v# S; K$ g
Chance, 机遇
: ~2 N9 D" B, k! e" g8 S5 [! M+ ~+ Z1 E( EChance error, 随机误差% }6 B+ w& F% ~9 ^2 x2 r( S
Chance variable, 随机变量
$ ^* U7 D9 }) {2 X& K8 I- JCharacteristic equation, 特征方程' h, `/ s) N* P: d. Q
Characteristic root, 特征根
# k; O, [7 _: J. {$ `Characteristic vector, 特征向量# j7 X' R7 z+ g4 E
Chebshev criterion of fit, 拟合的切比雪夫准则
/ p5 W c" O, \5 s/ TChernoff faces, 切尔诺夫脸谱图 b F* X, A+ ~
Chi-square test, 卡方检验/χ2检验
' W1 s9 Z+ A8 x0 T& ACholeskey decomposition, 乔洛斯基分解3 R# |0 c4 q) \
Circle chart, 圆图 ( I- r/ Z; c/ W5 ^6 d- ^+ w
Class interval, 组距
+ X" i" |! E- \, f' ~: ?% P9 EClass mid-value, 组中值
7 b+ a7 n n/ u2 dClass upper limit, 组上限" o& _" I( |* z6 H# E' z0 d
Classified variable, 分类变量
" J3 N5 f& G' h2 e4 OCluster analysis, 聚类分析
0 A( b4 V6 |3 c8 yCluster sampling, 整群抽样
7 H" E5 N7 g0 yCode, 代码: y6 w$ Z, o# W% y5 T; X" `
Coded data, 编码数据
6 s Q7 S: I$ y2 X* b! y! HCoding, 编码
3 s2 }4 A6 \# Z8 lCoefficient of contingency, 列联系数: D- v3 |" ~( F3 A8 |
Coefficient of determination, 决定系数+ @6 v2 I' u- ^' S' X
Coefficient of multiple correlation, 多重相关系数
' i! d! ?9 l4 c z% D& wCoefficient of partial correlation, 偏相关系数
( d. A3 H' A. j: m7 G/ o; p0 TCoefficient of production-moment correlation, 积差相关系数1 N' Z& T' a$ Q' ?
Coefficient of rank correlation, 等级相关系数# u0 G% _2 N) M) U- a
Coefficient of regression, 回归系数
& z1 L i' `8 Q1 F: F/ b2 y& _2 S% @Coefficient of skewness, 偏度系数
5 L" {* G- k" M4 S! i4 f* WCoefficient of variation, 变异系数
8 j& y8 i g2 M; ?6 _3 XCohort study, 队列研究4 O# R8 q6 }- n- s. g9 g% T: u
Column, 列
, ]! W' g9 d/ zColumn effect, 列效应
/ T9 T- J" J, RColumn factor, 列因素
1 g8 p0 }' y0 `# a y) nCombination pool, 合并
, g6 `( u2 D' _) z gCombinative table, 组合表. v: \! a' N" j% g$ m+ V! k
Common factor, 共性因子
$ b/ K5 ]6 N b' O; w6 ~Common regression coefficient, 公共回归系数
+ f' ?* s7 L- |- ]/ ~# f$ i2 oCommon value, 共同值
& I: o2 C3 e* J; ?Common variance, 公共方差
P+ U+ Z7 @$ y% wCommon variation, 公共变异& D! T7 }/ I; Q$ D. k& _( }
Communality variance, 共性方差
4 r/ \" i+ Q8 z F& g9 v3 i8 AComparability, 可比性9 p* I# O' _, b2 Z7 }
Comparison of bathes, 批比较; ]! t2 F1 T% ^
Comparison value, 比较值
5 p: E) Z+ g# w0 M: MCompartment model, 分部模型" g+ i. K4 h6 u( ^! N# l
Compassion, 伸缩
2 g: i4 Q, K T4 ^Complement of an event, 补事件5 N+ Z9 W; y5 F/ O! V3 V1 z5 O. z
Complete association, 完全正相关4 V i$ ?9 O4 n& A
Complete dissociation, 完全不相关
f3 Q7 P. P4 e5 U3 _* YComplete statistics, 完备统计量2 b& q/ y, G5 V& J
Completely randomized design, 完全随机化设计
$ v) Z8 M. E: B+ d. F6 KComposite event, 联合事件
& |2 V0 }) M) tComposite events, 复合事件
* m' t; y0 g3 s/ |4 Y% g$ A6 R7 HConcavity, 凹性
3 @; x% h9 |* j' g1 s& j/ X: Y/ L8 {Conditional expectation, 条件期望+ c+ T% h! v- L c4 w% U {
Conditional likelihood, 条件似然' } R$ M9 P/ k- z
Conditional probability, 条件概率$ W% I2 ~* U6 I& R O
Conditionally linear, 依条件线性
( V8 L p8 c! w0 F, Z6 QConfidence interval, 置信区间# Y9 P4 O' b5 _( b7 N6 f
Confidence limit, 置信限0 w G& Z* a7 X) O/ G
Confidence lower limit, 置信下限7 X; J, @; Y! v; ]" t& p
Confidence upper limit, 置信上限
8 `2 W' t. v/ S9 r8 s& cConfirmatory Factor Analysis , 验证性因子分析
! r, g" F0 \! u% k% jConfirmatory research, 证实性实验研究
( o! G( k, w5 K7 m, qConfounding factor, 混杂因素
6 F% P6 ^* L' e \/ xConjoint, 联合分析7 L' b0 U: ^% m. W6 V: I* G0 a" U
Consistency, 相合性
7 G3 b; R L9 J) jConsistency check, 一致性检验
# p: b+ W E- WConsistent asymptotically normal estimate, 相合渐近正态估计3 B; F- d9 g* b0 M3 j! E( _7 [; q
Consistent estimate, 相合估计
8 Q" e6 Z5 A$ |% ?Constrained nonlinear regression, 受约束非线性回归
5 n2 K+ n5 ^! ~1 f; CConstraint, 约束" X5 u' K/ o) z& w
Contaminated distribution, 污染分布
' t. h) G5 C/ ~Contaminated Gausssian, 污染高斯分布
4 C- ~( S# G7 y% k* q5 TContaminated normal distribution, 污染正态分布
- R# A9 P2 H. i, _# K. UContamination, 污染2 V! U$ V# F7 E4 C% h$ ]
Contamination model, 污染模型
, ~% |& {4 m/ U+ f$ o! `Contingency table, 列联表
T* c9 ^- @( G1 w7 p% F/ FContour, 边界线+ L5 |7 p4 K9 \+ d
Contribution rate, 贡献率
+ e: Q' {, b( M; M. DControl, 对照% U J1 i7 ~# m- p( n4 C& H8 ?1 i
Controlled experiments, 对照实验
; ^/ Q1 N) g9 N4 b7 U3 W" L: xConventional depth, 常规深度& R6 r& ]4 ]# g1 c/ C1 z
Convolution, 卷积+ T+ H, O' w* P$ M
Corrected factor, 校正因子
9 A9 Y7 @% L$ @0 _2 [1 W2 Q7 Y9 lCorrected mean, 校正均值
9 f v0 V4 b4 J1 a4 [( ^( L, DCorrection coefficient, 校正系数! w! P ~0 E: l; o" h0 I
Correctness, 正确性# t9 R. V$ P: z5 P: i4 l/ `! B
Correlation coefficient, 相关系数# d: N2 r8 i$ j6 u" z
Correlation index, 相关指数7 K$ q. q: S# x- k6 h
Correspondence, 对应
- ~2 r5 C5 g' R: G/ ?Counting, 计数2 l3 z7 c$ x8 _4 r. V
Counts, 计数/频数
& \+ S1 t o9 i% I; _! K- X" ^Covariance, 协方差
9 k* n, i- z. G" eCovariant, 共变
! Y7 \% G3 M; z/ {8 RCox Regression, Cox回归 p t0 I- b, j) X
Criteria for fitting, 拟合准则2 ?, {( e0 p" M9 b; b
Criteria of least squares, 最小二乘准则
5 H* I) e. E' D, x; v& yCritical ratio, 临界比* ~2 k( f1 O& N* R2 y% U8 w
Critical region, 拒绝域
( \$ D' X3 p2 C5 p- ]3 a' PCritical value, 临界值
% U) n5 [9 e6 N& W" z4 mCross-over design, 交叉设计2 u3 w" x2 R3 G" H6 z J4 m
Cross-section analysis, 横断面分析
. K6 `. X7 F5 P& w+ M: zCross-section survey, 横断面调查* n" ~! t- y" ^
Crosstabs , 交叉表
; k$ e+ G; @, r% U# ]0 d- }+ Q tCross-tabulation table, 复合表) W. Q4 X' L) `9 Z
Cube root, 立方根
) Y1 ]" s! S7 \ z0 @6 }Cumulative distribution function, 分布函数
2 Y2 h6 @2 K0 c7 g8 b3 vCumulative probability, 累计概率
" V( b* w- }9 T' k, [& H& h) VCurvature, 曲率/弯曲6 N. o. o0 W5 E: v
Curvature, 曲率
* V7 ^4 [3 Y( `Curve fit , 曲线拟和 & H) L+ x/ }5 p
Curve fitting, 曲线拟合8 Z1 D# S+ |! y5 l8 M7 |# Z
Curvilinear regression, 曲线回归8 ]! X' {* r5 |
Curvilinear relation, 曲线关系
" R y4 T8 t& [9 YCut-and-try method, 尝试法1 S" Y2 t, R2 N
Cycle, 周期3 A0 ]. Z9 z& F8 s, M4 w
Cyclist, 周期性
0 X: E6 f6 ?5 O% E' ]* {5 mD test, D检验
7 x+ z. k" V8 g9 OData acquisition, 资料收集 W- E( s4 G5 g/ O. m3 F1 ?9 q3 k
Data bank, 数据库$ l+ b, X5 V! H0 z+ e6 F
Data capacity, 数据容量
3 i3 a5 l) ~# L1 V2 m$ mData deficiencies, 数据缺乏; v O* [. J/ v
Data handling, 数据处理& G* M% b4 g& q0 ? A* M) O7 Z
Data manipulation, 数据处理
' l/ R% m) j, h. P2 MData processing, 数据处理
" j# J' s3 g. v2 MData reduction, 数据缩减
& D# e2 o3 @/ B9 R/ lData set, 数据集
: P, A# Y6 Z1 [" n5 R' Q# lData sources, 数据来源+ o J) q( H, N/ @6 i0 K& p
Data transformation, 数据变换
0 ?# A: B& L* t* z* OData validity, 数据有效性
, _' p! |( a% k& k4 OData-in, 数据输入0 X1 h( J, z; a/ W+ l) t: t+ i* `+ A) T
Data-out, 数据输出
, ~$ q% G, D+ g3 qDead time, 停滞期2 _9 n) F, A7 ^' c' p% x' l
Degree of freedom, 自由度
; c$ B4 J4 U3 v) y' lDegree of precision, 精密度! M0 Y2 j* R4 e6 U5 T
Degree of reliability, 可靠性程度) M( Y4 W# L0 E
Degression, 递减. U, @" [ A. X8 U; p! u
Density function, 密度函数
! v* R% ]' h* @8 s. H1 @7 sDensity of data points, 数据点的密度
3 B) H$ M: T5 f, T% O2 A4 `Dependent variable, 应变量/依变量/因变量
9 }2 r5 y* D/ [2 H& {$ U& nDependent variable, 因变量6 f; `* K0 `: P1 M# k- f
Depth, 深度
7 n# ~- i' q( s: Y1 }# ^; P" E# LDerivative matrix, 导数矩阵$ F# w& e) m# |1 D
Derivative-free methods, 无导数方法
; B( I0 V3 {: H W9 m; ^# l# ^Design, 设计
1 a; [. T$ Q/ r' s6 }9 Q" ~3 mDeterminacy, 确定性0 H6 m! K4 e' I, n5 J
Determinant, 行列式
1 y4 n* }5 f( x/ T% ]5 fDeterminant, 决定因素
( {4 e0 q2 K3 X8 d2 UDeviation, 离差$ I# D% X, l+ F# ]5 a( T
Deviation from average, 离均差
9 D3 l! ]: j* N( g: ~8 jDiagnostic plot, 诊断图8 |* N5 r" Q2 P% v6 x
Dichotomous variable, 二分变量
5 @1 b H9 d$ I2 U$ } FDifferential equation, 微分方程
5 ?8 {; ], V1 N$ h; IDirect standardization, 直接标准化法
d: G( c _. r5 G1 dDiscrete variable, 离散型变量 |( F$ |+ B7 ]- z G+ v# X
DISCRIMINANT, 判断 $ a( `3 _9 J9 P
Discriminant analysis, 判别分析
. E' f0 y' Z- u( a# o9 y9 [Discriminant coefficient, 判别系数6 \8 b/ M. o7 o
Discriminant function, 判别值
, _- f5 I% o: `- ~Dispersion, 散布/分散度3 N5 g9 U" N- E9 y' Q9 q
Disproportional, 不成比例的
! r& r- \% ]: g' y1 O8 wDisproportionate sub-class numbers, 不成比例次级组含量3 i" ^% d/ A3 \; J: D1 |% M( M
Distribution free, 分布无关性/免分布 J+ b+ b( A8 [' _; c* U; w
Distribution shape, 分布形状
* R4 _& Y9 D& PDistribution-free method, 任意分布法
3 Q4 W9 d2 U5 p8 ]! {Distributive laws, 分配律1 ~4 m, X, n( f
Disturbance, 随机扰动项# R6 D% d1 K" A2 w0 ^: C
Dose response curve, 剂量反应曲线7 B5 f& ^0 U; U( C4 K4 P
Double blind method, 双盲法/ s! |9 }1 o: i( W" z" ~
Double blind trial, 双盲试验
6 |3 @, ^) M/ a: ^& K+ c% F% EDouble exponential distribution, 双指数分布# ~( k& @8 a: G; S+ B4 _) O
Double logarithmic, 双对数% G2 l9 O& w+ o( R e" Q0 `2 s$ `4 o
Downward rank, 降秩3 z* M+ o' X* `/ U. Z4 }) \
Dual-space plot, 对偶空间图, n- H+ h, s Z# O q/ r: p" _, `. r% L2 x
DUD, 无导数方法4 ]) D! q: t3 v P0 F3 D: Q( L9 N5 R
Duncan's new multiple range method, 新复极差法/Duncan新法
( [ e0 F- z5 o+ @7 E, zEffect, 实验效应% T; y( ^2 w* g+ x7 N/ i( f/ j
Eigenvalue, 特征值
/ l4 t2 h5 U0 H$ e/ p5 M) hEigenvector, 特征向量$ |% d- m, G8 @. i6 f" P5 G
Ellipse, 椭圆
: |( c* P: l7 q$ XEmpirical distribution, 经验分布
4 `# }& H5 U1 I" SEmpirical probability, 经验概率单位. L4 G# O5 H' I) q
Enumeration data, 计数资料6 A2 T' i% t/ J: ~% O
Equal sun-class number, 相等次级组含量
) j" O: `4 C, U& d+ c5 |9 d& VEqually likely, 等可能
6 [+ v/ N- P7 D# `# b) [Equivariance, 同变性
$ A$ S2 i6 V0 u+ x5 y# H# IError, 误差/错误% w2 o8 s* l7 a% V: L8 j
Error of estimate, 估计误差
; r4 \! R' P" y" @ L# X7 O! `Error type I, 第一类错误
% V ^0 Y- O4 Q# b, ?% N5 ]Error type II, 第二类错误
( N8 O/ {0 w* p8 Q: ^) lEstimand, 被估量& { Y* k" c! {2 x8 ]6 ?
Estimated error mean squares, 估计误差均方4 Z* ^6 Q1 b8 h3 v& w" L& x" R
Estimated error sum of squares, 估计误差平方和
) z% {& F! J1 j7 V* E/ _( e6 g# aEuclidean distance, 欧式距离
" h2 U; p3 \- DEvent, 事件# l& A$ z% n4 ] x2 y
Event, 事件
" n3 n( q6 [5 DExceptional data point, 异常数据点
2 M, O0 \9 H2 \Expectation plane, 期望平面
7 J. X& A7 h2 D6 `9 F$ \( n6 h+ FExpectation surface, 期望曲面
( |* _1 C6 d% J7 r3 pExpected values, 期望值
$ Y; ]7 x) d5 L$ @2 ^7 ~% g8 X i AExperiment, 实验/ i8 }( ] G$ t3 `7 |
Experimental sampling, 试验抽样
- J8 k$ m" J. Q4 w4 vExperimental unit, 试验单位
/ h2 |9 l9 e2 n! _. J# MExplanatory variable, 说明变量
! R. F9 `) B6 W& k: _4 BExploratory data analysis, 探索性数据分析
7 i% w) J4 `% [& d0 \5 QExplore Summarize, 探索-摘要! Z2 V# A+ w* I; ]& v
Exponential curve, 指数曲线
: h$ l+ H( a. @- G" wExponential growth, 指数式增长
6 Q1 Z: o' Y9 k# v5 V- q/ w$ d' nEXSMOOTH, 指数平滑方法
$ {) e- Z H- D* ^# G! C* AExtended fit, 扩充拟合7 n. q) Q% _7 a( Q; t* S( T
Extra parameter, 附加参数5 t0 X! S, _. y3 h9 [7 K, n
Extrapolation, 外推法
. X: w6 k7 j- |( t# I9 Q) ?% i9 VExtreme observation, 末端观测值
: s: X( T; s: r: L3 PExtremes, 极端值/极值
) m0 T4 C" E* {F distribution, F分布
( O8 _4 s. _& f- T2 IF test, F检验
3 Q7 }, y9 h5 U) s8 L9 P" SFactor, 因素/因子) j6 _" L. @9 H' O2 h2 B+ O
Factor analysis, 因子分析
1 f0 C8 v0 V5 O( ^" GFactor Analysis, 因子分析
/ u6 b4 P o( V ^+ q* |Factor score, 因子得分
, e0 x/ ?9 k( {Factorial, 阶乘, R. R4 X0 @/ w
Factorial design, 析因试验设计4 {' {3 E/ R/ y# }7 l" `! \1 h( n1 ?
False negative, 假阴性
_5 f" L+ P8 ?% x( a7 MFalse negative error, 假阴性错误
* R, R. ]" `2 z+ WFamily of distributions, 分布族
* h0 Z# S- x7 n# B. [% W' OFamily of estimators, 估计量族# Y0 y' U9 J3 t' H( j) h* e8 S H
Fanning, 扇面) f: G. T& z7 t! ~3 o/ }$ `. ~4 l
Fatality rate, 病死率" a& W$ Z/ p5 Q0 J8 b
Field investigation, 现场调查& U5 C& I4 j8 {) P/ W; P# L
Field survey, 现场调查; p" g$ _- q( l& O6 J' W3 W. n" [
Finite population, 有限总体* U. H* L$ m6 p! k; L" W
Finite-sample, 有限样本, ]) `+ }( s8 }+ z
First derivative, 一阶导数
1 f) V! }3 K" R" u9 g7 ^* Q/ LFirst principal component, 第一主成分# U, r- B6 @6 v
First quartile, 第一四分位数
' H& K! T: J4 U1 A' R' QFisher information, 费雪信息量# y+ ?$ f3 x+ [ u& \2 T
Fitted value, 拟合值
: H; g: h8 D! w, [7 w6 f NFitting a curve, 曲线拟合
. o( `/ M# C! BFixed base, 定基1 Z2 m" @( F# z( L. X
Fluctuation, 随机起伏6 l& K. p) K& t7 ^6 g
Forecast, 预测" `5 h4 O9 y8 L/ a# \9 l$ S% m
Four fold table, 四格表
, F2 V9 l- l' u4 ZFourth, 四分点2 k9 {/ y8 V8 }9 s
Fraction blow, 左侧比率: z: F R: M9 z' K; Z8 N
Fractional error, 相对误差
) t% ]7 ]! @, m0 Y! R. g% mFrequency, 频率 M. X" `" a8 n2 G. e
Frequency polygon, 频数多边图8 ]0 I$ K/ C# F+ \ ^; q" D3 |
Frontier point, 界限点3 O1 D& U6 {) r/ H& J& B# x
Function relationship, 泛函关系- L" c- H1 V; X9 n8 ^0 J) n+ A
Gamma distribution, 伽玛分布
0 I5 b: a0 b/ c: J5 DGauss increment, 高斯增量1 g9 J/ {4 _% ]1 G' C" W
Gaussian distribution, 高斯分布/正态分布8 l7 ?! V) r4 S2 R( [7 u" k4 N
Gauss-Newton increment, 高斯-牛顿增量
0 M" U" Y6 N/ \* s) z+ T( VGeneral census, 全面普查9 a3 i" R5 E6 D5 q+ I' M
GENLOG (Generalized liner models), 广义线性模型
4 X8 ]3 T) H: OGeometric mean, 几何平均数0 O V9 D) N) c! ~( {
Gini's mean difference, 基尼均差- j7 c. E4 @# }" t8 U& o" A ]! X" Y
GLM (General liner models), 一般线性模型 , F) G" k# r, v# N1 A8 [6 _
Goodness of fit, 拟和优度/配合度8 I: A F! m& Z
Gradient of determinant, 行列式的梯度
2 G: u4 n2 S( C1 Q5 `: tGraeco-Latin square, 希腊拉丁方) V0 s" p& w9 e# l$ S. @
Grand mean, 总均值
$ s0 ^; y: ?* B) L5 }Gross errors, 重大错误
; f( d' Q8 v/ b, O& a! AGross-error sensitivity, 大错敏感度
; p2 N- ^' P6 {# s: J* o+ yGroup averages, 分组平均, t1 i ~$ P# ^+ M* a
Grouped data, 分组资料" B. E" F, p% w
Guessed mean, 假定平均数9 x0 M) Q" j" _; y
Half-life, 半衰期
- i( s6 r: o0 ^2 d3 _ e8 \1 p- dHampel M-estimators, 汉佩尔M估计量
/ D) x# m3 e( v4 {Happenstance, 偶然事件1 W- J* R0 Y3 u& x( B
Harmonic mean, 调和均数4 q7 z @7 r6 |) | b' ?8 [
Hazard function, 风险均数2 {4 x5 k4 t2 d( E" d
Hazard rate, 风险率* e3 F. K9 q9 b: c& h
Heading, 标目
4 r: p5 b; d5 }! X6 cHeavy-tailed distribution, 重尾分布4 w8 N! W- Z& N* M) X
Hessian array, 海森立体阵7 U- m/ v5 \- G2 K
Heterogeneity, 不同质
1 l y/ ]+ u: q7 U% A; R ZHeterogeneity of variance, 方差不齐
( c) S1 P- @6 z6 RHierarchical classification, 组内分组
1 a8 w2 `7 T. c, s2 sHierarchical clustering method, 系统聚类法
! k! l. v9 Z5 @& U& o' [5 IHigh-leverage point, 高杠杆率点% a( s( C t1 f( G# {- m
HILOGLINEAR, 多维列联表的层次对数线性模型
% R6 R8 f- S) ZHinge, 折叶点
' p/ H' h5 M! G" ^Histogram, 直方图
- a" R: }( _5 h. q' t- ], ^3 a4 eHistorical cohort study, 历史性队列研究
/ ^: x* d. b0 Y0 C# FHoles, 空洞
+ [8 N @! f0 `6 s3 T, d# HHOMALS, 多重响应分析' Y1 r$ F$ y: }$ l1 J, E
Homogeneity of variance, 方差齐性
: E; \6 j, L0 ~7 LHomogeneity test, 齐性检验
) x: f) E7 z& H k2 {Huber M-estimators, 休伯M估计量
% Q3 G) K& P1 N5 C- O$ y3 PHyperbola, 双曲线/ n1 w6 t( T; H. K3 v0 D
Hypothesis testing, 假设检验
- w) f1 ~7 o: X r$ I. l8 {! h0 Z2 zHypothetical universe, 假设总体
2 Y, k$ E5 q# `2 ^7 g f! nImpossible event, 不可能事件
1 J1 i3 `. P8 DIndependence, 独立性1 B. B0 e9 ^. i0 `
Independent variable, 自变量) D4 H; `% l/ [0 u0 l
Index, 指标/指数2 Z* a4 V* |# E! J1 U
Indirect standardization, 间接标准化法9 V9 f% }4 K: a1 A+ |- C; f+ r
Individual, 个体
/ m5 f" C( m1 P. E1 f7 n( i ^% @3 `0 yInference band, 推断带5 x, K. @" X1 j( w, O% j4 S
Infinite population, 无限总体' Z9 g* `. v6 ^3 h; V [$ j6 C
Infinitely great, 无穷大! P! l; J; j8 x6 M1 B) }
Infinitely small, 无穷小
. V* }% k) Z9 p, H6 l- hInfluence curve, 影响曲线. ^ e5 S: |3 j- Y* ~
Information capacity, 信息容量
: _5 p7 H' N' iInitial condition, 初始条件
9 ?% X) Y; T- _3 C' iInitial estimate, 初始估计值
8 f7 Y3 y* H& m& QInitial level, 最初水平
- X0 @. ~0 k8 M/ f K! B+ p+ EInteraction, 交互作用5 ^6 K# E$ _5 [# [- k1 T
Interaction terms, 交互作用项
0 J& e9 ~' z. {Intercept, 截距
% t% b; |* H4 Y, O6 y; LInterpolation, 内插法
% D" U8 D+ d( R8 {6 @Interquartile range, 四分位距
8 d; D/ Z' J# G. r0 G% |Interval estimation, 区间估计3 i) J& t/ f+ f1 I
Intervals of equal probability, 等概率区间% B) O) t. i' x+ L5 v
Intrinsic curvature, 固有曲率3 ]3 X1 s/ `, @/ n5 H K, m
Invariance, 不变性3 X0 G7 S2 n, {- ]& w- i' L
Inverse matrix, 逆矩阵
% o6 Y5 ^9 c2 `; J# ]" r& EInverse probability, 逆概率/ C2 ~$ ~$ E8 S" A
Inverse sine transformation, 反正弦变换' k+ g0 t( ^8 d; f4 N* _" U
Iteration, 迭代 & [) `4 a* ]7 l- G, _9 z- K% c) z: z/ d
Jacobian determinant, 雅可比行列式
3 B* I/ ?; R- Y2 bJoint distribution function, 分布函数2 ?& ^% `5 N0 U" [! n D
Joint probability, 联合概率
$ O% K) s" x( n7 ^Joint probability distribution, 联合概率分布
8 K$ z3 n# i5 D2 x) }6 iK means method, 逐步聚类法6 g' _0 ~- k/ V6 V2 N9 X
Kaplan-Meier, 评估事件的时间长度
* e7 U8 a7 G$ U! ?Kaplan-Merier chart, Kaplan-Merier图
- d. B4 f" x& h; [; n W4 YKendall's rank correlation, Kendall等级相关( ~# ~% J! w. ]* Q& t
Kinetic, 动力学- \: X/ Z6 v% U$ L
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
$ g: v$ l' ]: P OKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验2 ?: I- u0 b9 n+ C% t: W
Kurtosis, 峰度
/ I4 h @7 ?7 h% u C9 {Lack of fit, 失拟
* K; O+ N0 t7 v9 b- J! d, j2 xLadder of powers, 幂阶梯
9 j1 Y3 P7 h3 I4 m2 L* S6 WLag, 滞后8 }8 y* H: I$ C) u. Z
Large sample, 大样本, n( q3 Q; R( K7 s: E
Large sample test, 大样本检验
+ a _# k# ]/ f; @# I- |Latin square, 拉丁方# N% L4 J% c8 E' C D. y
Latin square design, 拉丁方设计
3 \- p1 r/ D: aLeakage, 泄漏
$ n2 p) m9 a( `% a/ qLeast favorable configuration, 最不利构形9 q# i1 G `) q( [' R' R: A
Least favorable distribution, 最不利分布7 c- m7 I0 I- q! ~
Least significant difference, 最小显著差法
" C" {1 a" {) k) R3 v- hLeast square method, 最小二乘法! [+ \9 ?; l4 ~9 U6 b# V+ ~. ?* `$ t1 I
Least-absolute-residuals estimates, 最小绝对残差估计( W5 i5 t0 [9 P3 s3 h+ N' o
Least-absolute-residuals fit, 最小绝对残差拟合# |: N. l0 s; t; z
Least-absolute-residuals line, 最小绝对残差线. f& O9 T3 W8 q5 z/ d$ [: v
Legend, 图例! n; q6 a; C3 P/ f7 i
L-estimator, L估计量2 s' N, r5 Q& w/ {
L-estimator of location, 位置L估计量
" J# c. @: X% }/ H$ f+ m1 w- o" T$ |L-estimator of scale, 尺度L估计量
9 ? y7 z7 f m0 p1 p; \! pLevel, 水平
( ~. {/ E* y" V( }3 D6 ]Life expectance, 预期期望寿命
+ D3 `7 Z& J& |/ d4 c6 m% }Life table, 寿命表( e+ B1 L! V, m% V
Life table method, 生命表法, F2 |6 W1 Y3 |5 X( a+ J/ A; I
Light-tailed distribution, 轻尾分布
- s/ q% u) c! DLikelihood function, 似然函数
2 z* Z/ W7 U' l7 s1 F$ s! Z- E, y; nLikelihood ratio, 似然比
0 D- b- o8 E! o. |5 ^line graph, 线图
' i" J# H4 G6 V/ PLinear correlation, 直线相关! D& R3 Y! {7 g6 i9 M0 |2 ^
Linear equation, 线性方程
" G; [, ?3 v" h3 L3 b+ \2 ILinear programming, 线性规划0 h( d- s) T% S+ c
Linear regression, 直线回归
* P% @, H* \- nLinear Regression, 线性回归* _) F/ A3 ^1 F2 O3 t5 {, b1 @
Linear trend, 线性趋势* C l% p# ?1 N- v& M; I' a+ [& V
Loading, 载荷 ( V" J X9 m$ |! Q$ Z* s4 Z
Location and scale equivariance, 位置尺度同变性. \# Z* ~9 \% @* L
Location equivariance, 位置同变性
4 k& m' N3 K. c4 {Location invariance, 位置不变性: Q0 q3 N/ i ?1 |, ?+ l: t* X* D
Location scale family, 位置尺度族
. M8 F3 x4 L3 d, }' nLog rank test, 时序检验 # U! S% t8 x+ e9 f- u3 P$ D9 J7 ?% P
Logarithmic curve, 对数曲线: X2 j ^0 M5 L( h7 @( M O+ u
Logarithmic normal distribution, 对数正态分布# ~1 V! j% I* V1 c8 G+ W" c
Logarithmic scale, 对数尺度
& g% O9 o: L( ]/ X- \Logarithmic transformation, 对数变换
7 [6 a& ]9 m5 mLogic check, 逻辑检查
" ^8 u/ W6 H4 w2 F, m2 K+ B+ xLogistic distribution, 逻辑斯特分布
0 L( ]/ L% [1 M: tLogit transformation, Logit转换. |2 F9 q8 V, V( Y/ J
LOGLINEAR, 多维列联表通用模型
* G. n: s* Y" G! o& U7 p/ p' [Lognormal distribution, 对数正态分布
$ ^8 `7 o3 j7 y9 v3 N' rLost function, 损失函数. j# a- Z1 R: z1 J0 j2 C. z5 J
Low correlation, 低度相关
m+ w) I8 d7 Q! u7 Q7 P) E- x J7 FLower limit, 下限
7 g% L9 v& ^( Q D3 NLowest-attained variance, 最小可达方差& a- v4 l* A# _4 V) A: a
LSD, 最小显著差法的简称% K7 P9 n; P3 D; I8 d5 H
Lurking variable, 潜在变量9 j) e- w N$ b. D, u4 K
Main effect, 主效应& A- K2 i8 W8 x7 g
Major heading, 主辞标目
) e4 V* q+ R% PMarginal density function, 边缘密度函数
7 B: a# w& a T" ^1 rMarginal probability, 边缘概率2 H) w. ] a; M B( z9 q& _
Marginal probability distribution, 边缘概率分布
, H2 ?1 R+ h2 w7 U/ OMatched data, 配对资料
B. {; E) y+ D: B6 J/ N+ e+ DMatched distribution, 匹配过分布
# O8 B0 y8 |; q% j: r8 C0 q4 M$ UMatching of distribution, 分布的匹配
3 D9 z5 F( S: c( P& n( `; hMatching of transformation, 变换的匹配& t7 P/ S4 U" F% x$ e1 F
Mathematical expectation, 数学期望
; t u" Z! m+ D. cMathematical model, 数学模型
* q, Q2 y( n7 j4 J1 r) C% HMaximum L-estimator, 极大极小L 估计量
: R$ p- N5 H0 E" ^6 hMaximum likelihood method, 最大似然法# A, M" E$ }( k [( n) V
Mean, 均数
3 s$ v+ o$ L" F! n yMean squares between groups, 组间均方6 I. O5 {, z( ?+ w" F. i# V l
Mean squares within group, 组内均方
( s4 `5 I" s. D" w. Y; C' wMeans (Compare means), 均值-均值比较
8 J: u+ J8 r( Z4 `# \; c8 ?0 GMedian, 中位数! V7 S7 b8 c/ X! B6 x# R% K! b
Median effective dose, 半数效量
b* S; T) g9 {Median lethal dose, 半数致死量
' C: p3 c: g, S3 T" g- PMedian polish, 中位数平滑
& y+ ^+ l2 ^' W5 J) o) [! VMedian test, 中位数检验
5 p4 {7 I! C3 O. w9 d( E' kMinimal sufficient statistic, 最小充分统计量
. Y7 M; W& B# j8 _' N* NMinimum distance estimation, 最小距离估计
9 O' b4 Q. L5 ?) s1 IMinimum effective dose, 最小有效量
' q* g% Y/ R2 B% X. o' s; C4 r- yMinimum lethal dose, 最小致死量
4 c% W+ l9 ]7 Z& S' X+ M* q! l, \Minimum variance estimator, 最小方差估计量
# u" z0 s' ~$ K" EMINITAB, 统计软件包 M' w3 |( l9 H( f
Minor heading, 宾词标目
1 r5 S6 P- Q; k7 R' WMissing data, 缺失值
/ a+ S. W+ x! Q) _" {5 e- T6 CModel specification, 模型的确定; Q. i, V- R6 I* [
Modeling Statistics , 模型统计! @# S X! o8 H$ A
Models for outliers, 离群值模型& G2 [: _$ U5 ?. N( G
Modifying the model, 模型的修正
$ R' o3 n2 o3 B8 q: ZModulus of continuity, 连续性模7 E6 l! {* r- A2 N0 w
Morbidity, 发病率
* F+ g b) C) f% x0 O+ I! OMost favorable configuration, 最有利构形% O) y# L' ]- q7 _
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
: ~$ j2 b( c! C/ [; Q" ?4 n' FMultinomial Logistic Regression , 多项逻辑斯蒂回归
" I% T4 s, H' e1 J. V) S' ?Multiple comparison, 多重比较( N% Z4 W9 l5 ]; L6 P+ M( {% U
Multiple correlation , 复相关
0 f3 C: j. e m8 r8 m. RMultiple covariance, 多元协方差
R* Q `9 X7 w( W* }- EMultiple linear regression, 多元线性回归# Z! u3 V( ?' v) Y- N
Multiple response , 多重选项0 u% _( ~. n" B. u! Q
Multiple solutions, 多解9 N$ z' F: L. b& e% A' M9 t
Multiplication theorem, 乘法定理
8 A. R: G' a! _$ CMultiresponse, 多元响应
7 E* r7 f: l; ~+ FMulti-stage sampling, 多阶段抽样
# {& ?8 @3 h! p' yMultivariate T distribution, 多元T分布
/ m$ w$ T6 v3 ~3 ~. h4 U+ q; \1 G$ uMutual exclusive, 互不相容0 v u6 \0 k2 d5 x3 ^' K4 K
Mutual independence, 互相独立0 X8 \5 H0 ]' J; q1 ~( A- n* J
Natural boundary, 自然边界
# V& E6 k4 B! F& ]6 w9 [Natural dead, 自然死亡: s$ |& F% j* U% n5 [* d" N
Natural zero, 自然零8 o/ n/ p' N+ U$ [! W, z
Negative correlation, 负相关1 c3 Q- w* g( t9 Q$ T- g: t" e
Negative linear correlation, 负线性相关8 i% W. P% T9 g* p- p2 _+ { ^! R- V
Negatively skewed, 负偏 |9 d( h5 d8 I! w6 U
Newman-Keuls method, q检验
4 I9 K5 w p0 s1 b/ vNK method, q检验
* Q5 V* @! \& r+ J+ @& V7 Q) P7 ^, gNo statistical significance, 无统计意义
( c9 J+ g) l1 c YNominal variable, 名义变量# a5 `; h% y* `
Nonconstancy of variability, 变异的非定常性
' e3 T0 Z: i1 x8 N1 w7 GNonlinear regression, 非线性相关
4 T1 K# \$ F1 r+ }- xNonparametric statistics, 非参数统计
$ y+ ] S; F6 GNonparametric test, 非参数检验 o# q2 U% Z2 Q
Nonparametric tests, 非参数检验" k- E2 f5 ^% n) b3 U, T* Q0 w
Normal deviate, 正态离差
6 O8 {$ w, M4 J" ONormal distribution, 正态分布* {+ {5 z1 s; y
Normal equation, 正规方程组
3 c3 l: k, o6 z: bNormal ranges, 正常范围2 W" j2 m" [7 q, g8 q5 P/ R
Normal value, 正常值0 z1 ~- e0 m8 D( \2 H8 A
Nuisance parameter, 多余参数/讨厌参数; |6 ~& i; ]4 x7 Z/ M! u5 `0 p$ b
Null hypothesis, 无效假设
' Z, f' E; k7 j) ]Numerical variable, 数值变量1 Z2 Q- w# m, T
Objective function, 目标函数' e/ s+ L. o7 a# y) d
Observation unit, 观察单位
3 o6 A1 t+ @8 E( xObserved value, 观察值3 l8 f5 \' `/ B
One sided test, 单侧检验
( m' w4 w+ l- m5 mOne-way analysis of variance, 单因素方差分析, U2 N# i' }; F* U
Oneway ANOVA , 单因素方差分析4 m( Z# f9 I6 N2 E
Open sequential trial, 开放型序贯设计
) N; F2 v& A& q; GOptrim, 优切尾' w! x. Y% A) ~/ N( A* E0 `
Optrim efficiency, 优切尾效率' d% v, U# z J" m# o
Order statistics, 顺序统计量
( X; u) T: M) YOrdered categories, 有序分类
7 }2 Z- U$ E$ s! b# j5 fOrdinal logistic regression , 序数逻辑斯蒂回归
. L1 P6 p2 F/ |0 u5 sOrdinal variable, 有序变量) ]- @4 x) Z; m# G2 Y3 E3 Z( T3 @, }
Orthogonal basis, 正交基0 r5 B Q5 N8 T& d! c! q
Orthogonal design, 正交试验设计6 h/ T# Y1 C6 l9 n$ u U
Orthogonality conditions, 正交条件
+ v2 ?2 X" K$ ?+ aORTHOPLAN, 正交设计 1 o* o' i: V/ C' t8 j( x8 E
Outlier cutoffs, 离群值截断点1 r4 ]+ b1 w7 W# b5 a- c
Outliers, 极端值9 i b+ k" B4 j3 c( Z
OVERALS , 多组变量的非线性正规相关 0 n5 V9 y1 Q G; f. x" \) J1 g
Overshoot, 迭代过度
7 _8 c" Q( ~" _Paired design, 配对设计2 A2 M2 Q' [3 _* A( o( x6 s+ b* N
Paired sample, 配对样本
9 v. G+ k& `. t9 J; p) L+ q# D: i+ PPairwise slopes, 成对斜率, S5 ~; X/ U( {- R+ K$ D
Parabola, 抛物线6 d: g1 w2 X- E0 G. h; X
Parallel tests, 平行试验
! h' q7 `# k& Z5 EParameter, 参数
Y8 b# o5 P6 `Parametric statistics, 参数统计# w" T& p l! z" p
Parametric test, 参数检验
/ e2 y& L. L9 B/ i8 _Partial correlation, 偏相关
# Z* \" @& z- c8 n5 L, B5 z3 ?2 H- bPartial regression, 偏回归
: I. E/ T" U" L+ A& y" r1 {: jPartial sorting, 偏排序, \& p: `+ B( t8 R' L* q3 [
Partials residuals, 偏残差4 g/ D2 v0 n7 @# D$ f1 j3 P
Pattern, 模式
! S! h! G% v# Q1 l" l% j+ C, APearson curves, 皮尔逊曲线
# ^: E) M7 B5 APeeling, 退层) B' ?9 v# c# F- f; K: R
Percent bar graph, 百分条形图
/ t2 ~3 C& G7 [4 I7 n. o/ CPercentage, 百分比* |# d6 e) M* z0 w
Percentile, 百分位数
) J3 h' A& s/ `" WPercentile curves, 百分位曲线
8 U# N4 z5 G% ~( j$ G6 UPeriodicity, 周期性
. r M4 i" c7 \+ WPermutation, 排列. w e8 e3 q0 t! W
P-estimator, P估计量
: N/ E# Y8 F+ k! v; {Pie graph, 饼图
# L0 G6 z! S) T# ~- B/ @Pitman estimator, 皮特曼估计量
, t, b4 U" A% ?& {, V" {Pivot, 枢轴量1 Q( ?$ A/ T' Z; x8 h2 q
Planar, 平坦+ ^! I0 Y% {! w6 [, Q. I
Planar assumption, 平面的假设) n' d7 D1 F- q# ^' Y8 M
PLANCARDS, 生成试验的计划卡+ S/ B2 V2 V" ^0 K
Point estimation, 点估计
" \' R, l Z$ ?, V) CPoisson distribution, 泊松分布1 J1 G; X7 K" z
Polishing, 平滑
& k- I, m) Z: Y6 |. UPolled standard deviation, 合并标准差. a( Q) c. d* c7 u2 L& Q
Polled variance, 合并方差
5 [+ Z) B( m$ ]3 ?Polygon, 多边图
! z6 |5 {2 k$ h+ wPolynomial, 多项式
) y# `1 l* b0 N- z NPolynomial curve, 多项式曲线
2 _$ |- x6 n) a% E0 `8 |3 JPopulation, 总体
$ |4 t4 v" q$ p4 pPopulation attributable risk, 人群归因危险度3 @+ d+ j/ C9 a2 f
Positive correlation, 正相关0 F6 H3 g! z) B6 j% E0 T
Positively skewed, 正偏' J [* I( }5 g" z K
Posterior distribution, 后验分布. b# k: S/ n5 X
Power of a test, 检验效能2 O/ Z1 h( h# m% o
Precision, 精密度/ O# D% u; C; h- Q% a& p% `; o: X Y
Predicted value, 预测值* j3 X( r- b# w4 H5 g& i
Preliminary analysis, 预备性分析
# ?/ s! f: f* g# A$ Z; dPrincipal component analysis, 主成分分析
5 p( h% M" e7 m0 u/ F9 qPrior distribution, 先验分布; b9 ]: B" {8 q8 }* A* j, L+ S3 R
Prior probability, 先验概率
' P, \$ P0 r/ r9 }) L6 y4 ?3 yProbabilistic model, 概率模型
! k: M: { v' `' o- w: v# Sprobability, 概率
5 ]# y" G# O/ Y8 |Probability density, 概率密度+ y V) n1 i) @- M: z) a
Product moment, 乘积矩/协方差
( h- l: W6 f7 P5 Z4 H, B7 aProfile trace, 截面迹图4 X5 Z+ \3 m4 J5 j$ Z% e- ^
Proportion, 比/构成比
# @5 L' w m& @Proportion allocation in stratified random sampling, 按比例分层随机抽样
" U1 Y4 l; y0 l1 L& H8 qProportionate, 成比例" J# t& w/ D6 Z, t" {5 m* S" f
Proportionate sub-class numbers, 成比例次级组含量
& `0 t" A) m, Y y$ P& G' yProspective study, 前瞻性调查# S# l7 [. Y" [" @7 p8 f
Proximities, 亲近性
8 F0 j! J. t# APseudo F test, 近似F检验
( w! b" Z9 d6 D5 p2 p' e0 {$ D `$ b" IPseudo model, 近似模型
) V) L2 W W- QPseudosigma, 伪标准差
* d8 S& O9 B8 B" S' iPurposive sampling, 有目的抽样
/ ]3 H/ J% r% C' E, o& |2 JQR decomposition, QR分解
! M! K0 b- I) p' nQuadratic approximation, 二次近似& w1 A, w& n M. d. H& i% V7 z% t9 E
Qualitative classification, 属性分类9 C* q3 J- H7 [, X( ^& {& _
Qualitative method, 定性方法
3 Y: ~; d4 |' C' E. c/ c9 a- q0 |Quantile-quantile plot, 分位数-分位数图/Q-Q图
' p& K& s _* W0 k# ^' ]6 WQuantitative analysis, 定量分析
& }5 I: ?# l) w C9 C5 f( ]2 [Quartile, 四分位数
) |- u$ \2 g) M. r9 l" Q# c& `1 H' yQuick Cluster, 快速聚类 I; o* ^( P F! x" W
Radix sort, 基数排序2 N5 g+ T& u6 K% @" m
Random allocation, 随机化分组
/ u6 G/ f- L) K, ]3 |+ D4 {1 V+ CRandom blocks design, 随机区组设计
5 ~8 L }$ G6 v4 tRandom event, 随机事件
! I, n( O+ E7 xRandomization, 随机化
0 ]! A& I* ~, s5 v) xRange, 极差/全距
' X5 w; y2 s, v! U) u- SRank correlation, 等级相关
4 [1 @" Z. T" f1 ^6 b7 O& D- MRank sum test, 秩和检验
/ J! ]6 s7 Z8 _; I- z& D2 l4 F6 eRank test, 秩检验
( _9 f- R" w' K1 }Ranked data, 等级资料
: r0 `1 w* u7 c; n6 j/ X% m/ PRate, 比率! A" X& z* r% ^9 e
Ratio, 比例
* a' N' N+ g: K1 R% H6 S$ k E; d1 c3 ERaw data, 原始资料
! T7 Z: L0 L g, O# vRaw residual, 原始残差% t4 Z4 \& e/ N
Rayleigh's test, 雷氏检验7 P3 S& L" l2 r5 t2 I# g
Rayleigh's Z, 雷氏Z值 ) g! R5 u! t% R, v
Reciprocal, 倒数' Z# W3 ?4 N1 A* k$ F/ f
Reciprocal transformation, 倒数变换* A2 C; v, E, S4 ~ C# C4 x
Recording, 记录7 j6 Z3 ^% W4 T3 T2 f( f" {
Redescending estimators, 回降估计量, W6 N8 N6 b& t# V' J: S
Reducing dimensions, 降维
+ }$ o% @* m* @5 e1 c* F) dRe-expression, 重新表达
4 M5 {; j, H1 G( z3 P9 H4 G" ~9 S4 YReference set, 标准组; f w- Y- D. B6 L
Region of acceptance, 接受域, n) v* g6 A7 ]6 q9 J5 ~/ K
Regression coefficient, 回归系数
$ z0 t, l% Z6 ^; `; }# s4 MRegression sum of square, 回归平方和# y0 }1 u4 k- l' r" R% E
Rejection point, 拒绝点4 G" U4 O) f9 Z; C, \1 A% Z9 a
Relative dispersion, 相对离散度" V x8 F- n" `- H, V4 H G
Relative number, 相对数
7 P8 @: }+ r1 d. ~+ ZReliability, 可靠性5 j" s5 @6 l; ?: N9 w" b$ J4 P
Reparametrization, 重新设置参数
- v1 N! k" {8 GReplication, 重复5 }& B+ }, E. G8 v5 s( T) i' A
Report Summaries, 报告摘要
0 X. r0 M+ A2 g9 UResidual sum of square, 剩余平方和- @7 _- a" R" ^$ @6 m- v
Resistance, 耐抗性6 F* @0 C. Y" V* R. e2 u( I) B
Resistant line, 耐抗线8 F; o/ S. q+ ^& ?) l
Resistant technique, 耐抗技术
' \' t) z( d7 }+ D( [R-estimator of location, 位置R估计量, F, a7 P) V+ a6 [
R-estimator of scale, 尺度R估计量
2 S% S: Y+ e, D) [8 D0 XRetrospective study, 回顾性调查) c8 i+ C- D, J1 } a' }5 l, g1 M5 }
Ridge trace, 岭迹+ W9 w% Q+ O7 w; q+ n0 s; Q
Ridit analysis, Ridit分析
9 W6 L, E L( T& g+ d! k& MRotation, 旋转1 n) J7 F( K$ V6 W# `
Rounding, 舍入
& Y8 \2 c g! p8 G5 X. o! K/ oRow, 行 u9 ~ C$ o& n- L; x
Row effects, 行效应" J( S0 Q+ F8 C3 f( g
Row factor, 行因素
1 K% D8 p8 g* a# ^& YRXC table, RXC表# O( a1 t* \6 R: d
Sample, 样本9 |- s$ t1 J6 M: {7 R( A* K1 B
Sample regression coefficient, 样本回归系数
# F2 B/ t! v. r7 b& t% Y: SSample size, 样本量! K- K& j( L8 l6 m1 m
Sample standard deviation, 样本标准差
. N8 r1 r" z7 f9 P; X5 g% |Sampling error, 抽样误差( U5 @- ^+ j ^7 K% G7 }( m- k, U& s
SAS(Statistical analysis system ), SAS统计软件包
. x0 P1 r; _8 w2 P+ Q; L9 v sScale, 尺度/量表
/ I4 b" W( V8 G. s* t& E- aScatter diagram, 散点图
u9 d- r+ g5 T- P' y5 c# l$ h: T+ CSchematic plot, 示意图/简图7 Q3 q, x' D/ q3 b& N3 P; p2 e
Score test, 计分检验) ^5 N% h6 m: g" W8 H2 g9 e
Screening, 筛检
; ]* j$ c5 y8 f" M+ L: F( R' VSEASON, 季节分析 - t$ L, P2 ^8 f; g4 T1 j& N+ P6 i
Second derivative, 二阶导数
( ~" A. e5 q# n1 f2 |2 GSecond principal component, 第二主成分
! {# ?8 p6 C# x' v' C) f [& xSEM (Structural equation modeling), 结构化方程模型 ! [4 d3 A7 \ a/ H: k
Semi-logarithmic graph, 半对数图9 }+ B4 a4 ?7 i- L& D
Semi-logarithmic paper, 半对数格纸/ p4 V' m* S, Y0 ?# C" `0 k* ]; M# T
Sensitivity curve, 敏感度曲线5 e# C! N1 G7 M4 p) T8 Q! a
Sequential analysis, 贯序分析
$ g% Z6 z0 `* t9 j. _3 wSequential data set, 顺序数据集
4 X/ y) v4 }# G4 P( `Sequential design, 贯序设计: p/ S/ Q" H. Q- C1 ?
Sequential method, 贯序法" \% i' K* E" Q2 `7 v1 F. w+ t
Sequential test, 贯序检验法
; W, i: @0 z. a- D) w9 ?Serial tests, 系列试验
/ y# _( Z4 b/ ?8 cShort-cut method, 简捷法 ! A, }5 D5 F: v/ k4 {: s; b, V
Sigmoid curve, S形曲线; _) M) m0 ?# f5 p1 o! Z) P. ^
Sign function, 正负号函数
/ y0 g O8 M5 i# ^; f+ E0 VSign test, 符号检验
1 J# P! N7 X" i- W7 {/ V6 NSigned rank, 符号秩% T' o+ [' o& X0 T1 x
Significance test, 显著性检验
' U8 { M! u2 D% L" }Significant figure, 有效数字
6 n" v) Z7 q. ESimple cluster sampling, 简单整群抽样
! p# T O) ^" zSimple correlation, 简单相关% B) Z I/ ~" o @# _
Simple random sampling, 简单随机抽样3 N8 b- ~( p$ V0 E0 f% o) s
Simple regression, 简单回归
S9 r% W% N/ Z+ n0 n" ?simple table, 简单表7 q( o/ f! G, _: v5 V! `
Sine estimator, 正弦估计量, C; B2 f1 w: B9 l% c
Single-valued estimate, 单值估计* o7 f7 ~; \; q9 p: k9 ^2 L3 G+ f
Singular matrix, 奇异矩阵
5 f" J0 Z1 L% A) J8 `) lSkewed distribution, 偏斜分布
3 M i e. o* N3 a# j1 W4 ?Skewness, 偏度7 F' i+ Y* c: _+ o4 x! r) D/ p' h
Slash distribution, 斜线分布
1 [3 N) b( o. Q6 J9 ]8 v5 F9 rSlope, 斜率
. f* |" }% k8 [! N, N$ q) sSmirnov test, 斯米尔诺夫检验5 w3 Q* Q5 \+ M% T0 \, ^" U* Y
Source of variation, 变异来源3 ~/ ?: T* L' h, {
Spearman rank correlation, 斯皮尔曼等级相关. p$ X8 q3 H) a( R% Q
Specific factor, 特殊因子
3 ~ L- `1 ~ gSpecific factor variance, 特殊因子方差
5 s' `- F: l9 OSpectra , 频谱0 r2 z0 ~8 @0 n4 {
Spherical distribution, 球型正态分布 y6 W6 q+ ^* W( x+ m7 g4 Z+ l* `
Spread, 展布
4 r; P( K3 a! h; u6 X1 PSPSS(Statistical package for the social science), SPSS统计软件包" X9 a J% b4 u5 z, ^' d$ n+ F4 v
Spurious correlation, 假性相关
; ~0 U$ V( p: l* G$ U* f* FSquare root transformation, 平方根变换
/ J Z0 t( l! H# C4 zStabilizing variance, 稳定方差6 H1 @8 t/ f P) W
Standard deviation, 标准差
" I% w# [0 V: P+ i9 MStandard error, 标准误
/ A6 w( I, @/ G- O ]# zStandard error of difference, 差别的标准误# A8 q* ~; J7 r" f H
Standard error of estimate, 标准估计误差
' q# T/ V' |# I1 e X/ _Standard error of rate, 率的标准误% g' p# A P7 }8 E0 B
Standard normal distribution, 标准正态分布
/ |. h5 {4 E+ g9 p3 i( {Standardization, 标准化
- R. [; B, P; x4 G+ H7 kStarting value, 起始值
6 A) L3 q+ b& |. QStatistic, 统计量
5 P* v: j9 n& X+ ?; ?Statistical control, 统计控制
& H. l. T1 Q; jStatistical graph, 统计图 z. ^, S4 H; c' Y0 U# ?# {6 q
Statistical inference, 统计推断9 v2 {; n1 s9 i: `; T
Statistical table, 统计表0 @1 j+ p5 s2 Q; E3 R! n: _8 f
Steepest descent, 最速下降法4 J" \% l, W' ?4 Z
Stem and leaf display, 茎叶图0 Q+ d4 O w/ F0 y2 A5 m5 S
Step factor, 步长因子
& @+ j3 E/ m. yStepwise regression, 逐步回归
' I' o! | D( o0 T, bStorage, 存
1 S; K5 X; ?+ vStrata, 层（复数）
' t9 a) H# j4 P5 RStratified sampling, 分层抽样! ?! x1 \ x }: E. Q4 B
Stratified sampling, 分层抽样
2 W7 p- J: a+ d _( GStrength, 强度. m1 V( ]* I; \. _
Stringency, 严密性
- l) I& ^: w9 |8 E8 XStructural relationship, 结构关系
: X9 N. m2 l+ uStudentized residual, 学生化残差/t化残差
$ b2 q- m$ V; q5 wSub-class numbers, 次级组含量
# g: r( E4 ]- NSubdividing, 分割
: j/ V t: v5 e8 PSufficient statistic, 充分统计量
" h# R8 @7 x" f M! FSum of products, 积和
/ W# E5 i' k XSum of squares, 离差平方和! G; ~6 P, U/ N$ K# A o! }+ M7 {
Sum of squares about regression, 回归平方和
$ F8 J$ C' l3 c! Z2 FSum of squares between groups, 组间平方和/ o; ]/ _# H8 g- t7 I4 |8 y
Sum of squares of partial regression, 偏回归平方和2 h. Z4 J5 r' ~0 B
Sure event, 必然事件. l2 ?, k' Y' D7 y
Survey, 调查
1 d9 j& v" _/ o. uSurvival, 生存分析4 V3 P7 U0 m: B Z+ L, M2 t
Survival rate, 生存率
+ Z2 ]' [% i. x2 K0 Q7 _Suspended root gram, 悬吊根图% h( b! x0 g/ @- A, ?
Symmetry, 对称: S' ]/ u* w0 @* w
Systematic error, 系统误差
6 h; ^, {- p1 N" r2 n! l6 @Systematic sampling, 系统抽样
) r( |7 `6 v5 a3 _- q8 STags, 标签
5 W: ~4 C( w4 ^; ]% g5 H( [0 FTail area, 尾部面积
4 | T% u6 k% n1 YTail length, 尾长$ \( s& h) R% j# ~! W$ t8 O
Tail weight, 尾重
# G* m+ n" p A/ o9 A, g7 @Tangent line, 切线' c! V2 E+ q3 c( b2 Q
Target distribution, 目标分布
, D3 }$ }/ h, z/ FTaylor series, 泰勒级数8 G6 p' O/ u1 c) C
Tendency of dispersion, 离散趋势3 F/ m, i& Z; x M
Testing of hypotheses, 假设检验( m. a$ R4 W- z
Theoretical frequency, 理论频数
4 i! i- Q$ t4 S: G1 k# e4 \Time series, 时间序列
6 U% y1 M8 _4 e+ x* ~0 H, _Tolerance interval, 容忍区间" N3 P" K* J0 t0 E3 F
Tolerance lower limit, 容忍下限
( |, H+ r( l+ H* |. v+ K& O. ~5 ITolerance upper limit, 容忍上限
4 [/ Z3 a$ I4 L. w: I0 rTorsion, 扰率' }2 f- u; y8 D$ P3 M
Total sum of square, 总平方和6 K% `4 f3 q. z1 b; ^7 w
Total variation, 总变异
; ]2 b K9 S4 P1 _4 Y; U qTransformation, 转换
! d3 G: x, Z P3 {0 n5 \8 D3 lTreatment, 处理) l2 V+ Z& @) t
Trend, 趋势, a/ o: M2 }9 i0 s" G z
Trend of percentage, 百分比趋势
2 Y/ p% E$ m2 H1 i( O8 V" L9 aTrial, 试验
( c7 N ^: s1 f- I3 t- UTrial and error method, 试错法4 [" n$ b% C3 \% E$ a1 c: `+ W
Tuning constant, 细调常数
2 U b `7 g D, |: f, t. PTwo sided test, 双向检验6 L) Z* v5 _4 i1 O2 Z
Two-stage least squares, 二阶最小平方* F# b+ H. B3 [! d: Q. X
Two-stage sampling, 二阶段抽样: n! |2 x. [& G' j l
Two-tailed test, 双侧检验
% ^ R: {6 t6 {/ ~. A; s. DTwo-way analysis of variance, 双因素方差分析
4 |/ ^* C2 ~# ?Two-way table, 双向表9 z* j ]6 g$ ~# `
Type I error, 一类错误/α错误
) l- L! O% e& v" N( \& E, mType II error, 二类错误/β错误
5 j5 h) C, S/ qUMVU, 方差一致最小无偏估计简称
# A& K# Q! g, D3 S( x9 b+ wUnbiased estimate, 无偏估计
5 m' n) w$ x% z4 `( w/ L. ZUnconstrained nonlinear regression , 无约束非线性回归
- b7 j& C. u* l0 n; OUnequal subclass number, 不等次级组含量/ E8 L2 w4 J5 v- b$ r; M* E# V
Ungrouped data, 不分组资料0 q* a* p% {" e. E: a1 F O
Uniform coordinate, 均匀坐标7 g# w- L, s) J7 x( w
Uniform distribution, 均匀分布" d( ^! }* T6 M' i5 k0 A0 ~
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计4 i; c0 t# a& K% V* R
Unit, 单元
2 I( _$ z* f) |% ^) YUnordered categories, 无序分类
3 i: h3 }: p+ sUpper limit, 上限9 d# C4 O, Z: ~5 V. l% r
Upward rank, 升秩
; |, u; J+ o6 A0 o/ k3 f3 LVague concept, 模糊概念
( [- W+ m2 |1 r, XValidity, 有效性
# R" L. ]! |* R ]8 LVARCOMP (Variance component estimation), 方差元素估计7 w4 e: K c3 e
Variability, 变异性$ v8 h. }$ O: L' m- S0 G, |
Variable, 变量
( U$ k: F, @. A# V" ?1 `Variance, 方差4 _( f3 T, I' u
Variation, 变异 g1 [8 E+ C. U
Varimax orthogonal rotation, 方差最大正交旋转/ f- l1 Z+ ]' x$ N
Volume of distribution, 容积3 X$ P" {& z1 a2 [' c8 o
W test, W检验
5 b5 N- y+ |& R6 E" D; MWeibull distribution, 威布尔分布
. m3 G$ q5 H( GWeight, 权数9 p* o7 T& q- g8 z
Weighted Chi-square test, 加权卡方检验/Cochran检验
8 l4 n J! C! iWeighted linear regression method, 加权直线回归
) h! v9 ^8 k2 ^8 l' x- ]Weighted mean, 加权平均数% J y/ v% e% p7 K0 S
Weighted mean square, 加权平均方差
# {9 Y7 J4 b) ^0 Z# K/ a. u' BWeighted sum of square, 加权平方和/ A6 I, @. p; s
Weighting coefficient, 权重系数) Q6 x- b3 x7 t( [4 R6 C! t
Weighting method, 加权法
% r+ O0 n* w7 D6 rW-estimation, W估计量
2 [& _6 ?) J4 L1 k. \3 qW-estimation of location, 位置W估计量
3 V4 h& e5 v% g( t) mWidth, 宽度
5 }+ W# V. K& g! \# l* FWilcoxon paired test, 威斯康星配对法/配对符号秩和检验% F( e/ [8 u" u9 K+ r2 S
Wild point, 野点/狂点' j L: ?( Z( @$ D1 N* {2 {
Wild value, 野值/狂值
6 H; ?1 y$ l. G8 B0 d5 t zWinsorized mean, 缩尾均值! Q* p' ?- g) ^2 a
Withdraw, 失访
3 q# C9 S% P" O' W* B% X! fYouden's index, 尤登指数8 K/ }9 w0 ^8 z2 T+ C6 f: y
Z test, Z检验
, ^# a; t4 `; _9 Z; {3 J; }1 z' ^Zero correlation, 零相关4 @- o5 d& V5 l5 x1 r# @
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
